Senior Systems Design And Integration Specialist Jobs

The Data Engineering team’s mission is to ensure high-quality data to enable data-informed decision-making across Asana. You will build data artifacts that are leveraged by Product and Business Data Science teams to optimize our user adoption, growth, and experience. In this role, you will partner with the Infrastructure team to build a self-service analytics platform for the company. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday; most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Design, implement, and scale end-to-end data products that support growing data processing and analytical needs Transform raw data into actionable insights to drive product strategy and power in-depth analyses and reporting Leverage AI to build self-serve tools and accelerate Data/GTM workflows Partner with data scientists, domain experts, and engineering teams to develop a roadmap that aligns with our business goals Implement systems that guarantee data quality, governance, and availability About you 5+ years of experience in Data Engineering or Software Engineering Experience in data modeling and building scalable data pipelines involving complex transformations Proficiency in data processing and storage technologies like Databricks, AWS/S3, Python/Scala/Java, SQL, Spark, and Airflow Proactive and innovative in identifying and addressing performance bottlenecks in existing workflows Motivated to work closely with cross-functional partners to evolve our analytical data model Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making At Asana, we're com

The Team Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, deployment machinery, and observability and alerting systems. The Fabric team manages the infrastructure that enables secure communication between systems and from the public internet. Their responsibilities encompass network architecture, service mesh, and edge load balancing, ensuring customer data remains safe in transit. The team plays a crucial role in developing and maintaining the reliable and globally connected multi-cloud network that supports MongoDB products. This role can sit in our NYC HQ, our smaller Austin, Palo Alto, or San Francisco offices, or fully remote from anywhere in North America. When based in an office, we provide hybrid work accommodation. Role Overview We are seeking a talented Site Reliability Engineer (SRE) with a strong networking background to join the Fabric team. This role is pivotal in building and maintaining the robust infrastructure necessary for secure and efficient communication between our services. As an SRE on the Fabric team, you will leverage your expertise in networking, distributed systems, and automation to ensure our systems are resilient, scalable, and reliable. The ideal candidate should Have 10+ years of experience working on software and operating distributed systems, with deep expertise in networking fundamentals and a good understanding of how the internet works, e.g. TCP/IP (including IPv6), DNS, TLS/mTLS, BGP, tunnels, overlays, and SDN principles Possess a customer-focused mindset, driving improvements that benefit end-users Value efficiency in processes and operations, and display a strong preference for automation over manual processes (“allergic to ops work”) Be intimately familiar with modern cloud-based infrastructure and the network design prim

The Team Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, deployment machinery, and observability and alerting systems. The Fabric team manages the infrastructure that enables secure communication between systems and from the public internet. Their responsibilities encompass network architecture, service mesh, and edge load balancing, ensuring customer data remains safe in transit. The team plays a crucial role in developing and maintaining the reliable and globally connected multi-cloud network that supports MongoDB products. This role can sit in our Toronto or Vancouver offices, or fully remote from anywhere in North America. When based in an office, we provide hybrid work accommodation. Role Overview We are seeking a talented Site Reliability Engineer (SRE) with a strong networking background to join the Fabric team. This role is pivotal in building and maintaining the robust infrastructure necessary for secure and efficient communication between our services. As an SRE on the Fabric team, you will leverage your expertise in networking, distributed systems, and automation to ensure our systems are resilient, scalable, and reliable. The ideal candidate should Have 10+ years of experience working on software and operating distributed systems, with deep expertise in networking fundamentals and a good understanding of how the internet works, e.g. TCP/IP (including IPv6), DNS, TLS/mTLS, BGP, tunnels, overlays, and SDN principles Possess a customer-focused mindset, driving improvements that benefit end-users Value efficiency in processes and operations, and display a strong preference for automation over manual processes (“allergic to ops work”) Be intimately familiar with modern cloud-based infrastructure and the network design primitives of at least one of AWS, Azur

About the Team The B2B Marketing team is responsible for helping businesses understand, adopt, and get value from OpenAI’s products. B2B marketing is a major and growing priority for OpenAI as we scale our work with companies, developers, and institutions around the world. About the Role Within B2B Marketing, Demand Generation builds the integrated, full-funnel engine that connects audience insights, content, field and digital experiences, paid media, lifecycle, and sales follow-through to qualified pipeline. We partner closely with Sales, Partnerships, Product Marketing, Communications, Creative, Web, RevOps, Analytics, and regional teams to create a cohesive customer experience and scale what works. We’re looking for a Senior Webinar & Digital Events Strategist to redefine webinars and digital experiences as a high-quality demand channel. You’ll own audience strategy, portfolio design, programming principles, conversion paths, and performance recommendations while partnering closely with a Webinar Marketing Manager on production and delivery. This is a hands-on role for a strategic operator who can create compelling experiences and build the pre-event, live, and post-event systems required to turn engagement into qualified demand. In this role, you will: Owning the webinar and digital events strategy, including audience priorities, portfolio architecture, editorial themes, formats, calendar, investment decisions, and success measures. Designing experiences for specific buyer needs and journey stages, with a clear value exchange, CTA, follow-up path, and connection to broader campaigns. Partnering with Product Marketing, Content, speakers, customers, and subject-matter experts to create differentiated programs that make complex AI topics useful and concrete. Working closely with the Webinar Marketing Manager and production partners to translate strategy into clear briefs, run-of-show requirements, launch plans, QA, and delivery standards. Building integrated pr

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The Senior AI Security Engineer is responsible for defining, designing, and advancing enterprise-wide security strategies and architectures for AI, GenAI, and machine learning platforms. This role leads the development of secure AI systems at scale by embedding advanced security principles across the AI lifecycle and driving the adoption of standardized, security-by-design practices. The Senior AI Security Engineer partners with engineering, platform, and risk leadership to proactively address emerging AI threats, strengthen organizational security posture, and ensure resilient, compliant, and scalable AI deployments. This role operates with significant autonomy and influences security direction across multiple teams and domains.

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. About the Role Synthesia is looking for a Senior Sales Operations Analyst to help our sales organization run efficiently, scale smoothly, and make faster, better-informed decisions. You'll own the systems, data, and processes that power our go-to-market motion partnering closely with Sales, Finance, and RevOps to keep the engine running and to surface the insights leadership needs to forecast and plan. This is a hands-on role for someone who's equally comfortable deep in Salesforce configuration as they are building a forecast model or presenting a pipeline analysis to sales leadership. What You'll Do Drive reporting & analytics — Build and maintain dashboards for pipeline, forecast, quota attainment, and funnel conversion; deliver regular reporting to sales leadership Support forecasting — Prepare and validate the data behind weekly/monthly/quarterly forecast calls Design sales processes — Improve territory planning, lead routing, deal desk operations, and quote-to-cash workflows Support compensation & quota planning — Model commission plans, calculate payouts, and assist with quota-setting analysis alongside Finance Partner cross-functionally — Work with Marketing, Customer Success/RevOps, and Finance

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Okta Privileged Access Management (PAM) is an identity-centric approach to a common and critical privileged access use case. Our elegant Zero Trust architecture is purpose-built for the modern cloud and helps customers solve challenging security and operations pain points at scale. We're looking for a Senior level Platform Engineer to join a team of highly skilled and talented team players who are proud of what they own and deliver. Our elite team is fast, creative, and flexible; with a weekly release cycle and individual ownership, we expect great things from our engineers and reward them with stimulating new projects, new technologies, and the chance to have significant equity in a company that is changing the cloud computing landscape forever. What you’ll do Leverage cutting-edge AI pair-programmers and LLMs (such as Copilot and Claude) to accelerate the development of secure, enterprise-grade Privileged Access Management (PAM) products. Work with engineering teams to design, develop and deliver cloud-based infrastructure projects on a modern tech stack (Kubernetes/EKS, RDS, DynamoDB, Kinesis, MKS, Redis, OpenSearch, Docker, Terraform on AWS) Drive evaluation, development, and rollout of microservices Operate, support, and upgrade shared services and frameworks. Scale these as their usage invariably grows along with Okta's business. Evaluate and scale existing systems to meet specialized requirements and support Okta’s future business ne

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Facebook, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. The people of Adyen are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Financial Products The Financial Products solution is responsible for all financial products that we offer on top of payments processing to our customers. Examples of these are our Banking, Issuing, Fx, and Capital products. Whether we work with large partner platforms, medium sized local merchants, or major international enterprise businesses, our products need to meet our clients expectations and seamlessly fit into their systems. What you’ll do: Work on complex technical projects from requirements analysis through design, implementation, testing and launch into production. Be hands-on and contribute to the implementation. Identify and improve parts of the platform to make it more robust and scalable. Bring your own point of view on best engineering practices. Your code will be used at scale and you are expected to think in that mindset when building features. We launch fast and iterate often. Concretely, this means that within your first few weeks, you will bring live functionalities that impact many merchants and shoppers. Build APIs and tooling according to quality principles such as performance and code quality. Collaborate across teams and time zones to get projects over the finish line. Who you are: Familiar with complex large scale distributed systems. You have experience with Java,

About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. As a Software Engineer in Global Retail, you'll shape how customers discover, browse, and buy retail products - apparel, beauty, electronics, auto parts and more - across Wolt, DoorDash and Deliveroo. Retail is a large growth opportunity for the business, and our mission is to be the most trusted and magical way to shop the brands and local stores customers love. You'll play a key role in making that real - from product discovery through to shopping experience in the apps millions of people use every day. You’ll join an evolving area where we are replacing and improving parts of the existing consumer apps, building specific retail journeys within large-scale B2C applications. This means working in a complex environment where multiple teams own different parts of the same app, and where strong technical judgment is needed to create consistency, quality and speed across teams. What You’ll Do As a senior engineer in our group, you’ll work your magic in Go or Kotlin (and some Kotlin) helping shape how retail succeed with Wolt. You’ll have opportunities to: Design, build, and scale reliable systems that power retail experiences. Work across the full development lifecycle – from business logic and testing to cloud infrastructure and data streaming. Collabor

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role As a Senior Software Engineer, Cloud Services, you will create scalable, reliable backend systems that support HP IQ's mission to transform the way people work. We value how we work as much as what we deliver. Our journey of continuous learning and evolution requires a flexible and resilient services platform that fosters innovation, experimentation, and adaptation. To enable this, we focus on designs and tools rooted in strong engineering principles like abstraction, composition, virtualization, automation, and iterative development cycles. What You Might Do Design, develop, and maintain backend services and RESTful APIs using Java and Spring Boot. Write clean, efficient, and well-tested code following established best practices. Collaborate with frontend developers, product managers, and other engineers to deliver end-to-end features. Integrate with databases and external services, ensuring performance, security, and reliability. Participate in code reviews, debugging, and performance optimization efforts. Contribute to CI/CD pipelines and support application deployment in cloud and

About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! Senior Staff Backend Engineer About the Team We build enterprise software that helps organizations optimize sales performance, enabling go-to-market agility. Our engineering organization includes multiple product application teams responsible for delivering core customer-facing capabilities. We are seeking a Senior Staff Backend Engineer to join our application teams and help set technical direction across multiple domains within engineering. You'll work alongside staff, senior, and early-career engineers, and partner closely with engineering leadership to define, evolve, and scale the systems that power enterprise-grade product workflows. This is an opportunity to own complex, multi-domain technical problems and shape product direction beyond a single team. We are low on meetings, high on accountability. Most of the teams are in the EST time zone, but we have a few located in AST, PST, and Central as well. What you'll be doing You will play a pivotal role in shaping the technical direction of our application stack across multiple domains. You will lead development efforts for our most complex initiatives, the kind that span two or more teams or product areas, and serve as a technical benchmark for system design, code quality, and long-term maintainability. You'll operate at the intersection of data modelling, business logic, and enterprise-scale reliability, and your work will often set standards that neighboring teams adopt. This remains a hands-on

Position Overview The Senior Analyst – Sales Operations will serve as a strategic operational partner responsible for translating sales incentive commission plans into robust back-end data processes and converting complex business requirements into data-backed executive insights. This role requires an analytical professional who combines hands-on expertise in Google Sheets, Advanced Excel, Salesforce CRM, data wrangling, pipeline analysis, and CRM hygiene with an AI-forward mindset to streamline cross-functional operations. Key Responsibilities Commissions & Incentive Management: Thoroughly understand business commission plans and architect back-end processes, automated workflows, and data models to accurately capture required inputs, run monthly/quarterly calculations, execute timely plan rollouts, and resolve participant queries with complete transparency. Business Requirements & Strategic Reporting: Deconstruct complex business requirements into structured analytical frameworks. Build, set up, and maintain reports and dynamic dashboards that drive data-backed decision-making across key commercial initiatives, including pipeline health analysis, revenue trends, and Salesforce CRM data hygiene projects. Data Wrangling & Spreadsheet Modeling: Perform hands-on data manipulation, cleansing, and complex performance/commission modeling using Google Sheets, Advanced Excel and to bridge upstream source data with compensation and reporting systems. Salesforce CRM & Reporting: Design, build, and maintain robust Salesforce reports, analytics dashboards, and operational tracking tools to provide key performance visibility to executive leadership. Process Optimization: Evaluate end-to-end sales and operational workflows, pinpoint operational friction, and propose scalable solutions to streamline business processes. Cross-Functional Stakeholder Management: Serve as a trusted advisor and liaison across Sales, Account Management, Finance, and Business Intelligence

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge Senior Managers of Engineering at OneTrust will make long-term strategic and technical contributions. These individuals set strategic goals for the team, hire engineers, and prioritize projects. You'll be involved technically, too. Developing new products, identifying requirements, and executing with excellence. Your Mission Drive strategic planning and execution while developing key technologies that will enhance OneTrust's long-term, proprietary strategic position. Create new concepts from initial design all the way to market release. You Are Experienced overseeing end-to end-development activities while monitoring reliability and performance of all internal systems and suggesting improvements when required. You will ensure compliance with security regulations while managing software development projects by setting requirements, goals, and timelines. Designing strategies for future development projects based on the company’s overall objectives and resource avail

Position Overview: The Senior Financial Analyst will play a critical role in supporting Diligent’ s financial planning and analysis efforts across assigned regions or business areas. This role provides deep insights and actionable recommendations that inform both strategic and operational decisions. The Senior Financial Analyst leads budgeting, forecasting, variance analysis, and financial modeling activities, while partnering closely with cross-functional teams and business leaders to drive performance and operational efficiency. The successful candidate demonstrates advanced analytical skills, strong business acumen, and the ability to influence stakeholders through clear, data-driven insights. Key Responsibilities Lead the design, maintenance, and enhancement of financial reporting packages, models, and dashboards to support business decision-making Analyze, consolidate, and interpret complex financial and operational data to identify trends, variances, and actionable business insights Drive budgeting, forecasting, and monthly/quarterly management reporting processes, ensuring alignment with company goals and financial statements Prepare and present financial materials for leadership and Board meetings, providing analysis and recommendations Partner with cross-functional teams (Accounting, Sales Operations, HR, Product, etc.) to support financial planning, process improvements, and strategic initiatives Perform advanced ad-hoc financial analyses to guide key operational and strategic decisions Identify opportunities to improve financial systems, tools, and processes for enhanced efficiency and data accuracy Mentor and provide guidance to junior analysts as needed, contributing to team development and knowledge sharing Required Experience/Skills 2-5 years of experience in financial reporting, analysis, or FP&A &nbs

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world’s most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. Our Approach As part of the interview process, you’ll be considered for opportunities across several teams within the GenAI Engineering organization, based on your interests, expertise, and business needs. Potential team placements include Allocation, Growth, Frontier Data, Trust & Safety, Pay, Operator, or Tasking Experience. Together, these teams power Scale’s AI data operations - from building high-impact datasets that push the boundaries of LLM capabilities, to optimizing contributor onboarding and incentives, to safeguarding data integrity through advanced trust, safety, and security measures. They work at the intersection of ML, operations, and analytics to ensure we deliver the highest-quality data at scale. Responsibilities: Design, build, and maintain robust, scalable systems across the full stack, including front-end, back-end, and infrastructure layers Implement high-impact features using modern technologies such as TypeScript, React, Node.js, MongoDB, Elasticsearch, and Temporal Collaborate closely with internal operators (your use